• Radiation Oncology Journal
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• 제37권4호
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• pp.302-308
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• 2019

The abscopal effect is a term that has been used to describe the phenomenon in which localized radiation therapy treatment of a tumor lesion triggers a spontaneous regression of metastatic lesion(s) at a non-irradiated distant site(s). Radiation therapy induced abscopal effects are believed to be mediated by activation and stimulation of the immune system. However, due to the brain's distinctive immune microenvironment, extracranial abscopal responses following cranial radiation therapy have rarely been reported. In this report, we describe the case of 42-year-old female patient with metastatic melanoma who experienced an abscopal response following her cranial radiation therapy for her brain metastasis. The patient initially presented with a stage III melanoma of the right upper skin of her back. Approximately 5 years after her diagnosis, the patient developed a large metastatic lesion in her upper right pectoral region of her chest wall and axilla. Since the patient's tumor was positive for BRAF and MEK, targeted therapy with dabrafenib and trametinib was initiated. However, the patient experienced central nervous system (CNS) symptoms of headache and disequilibrium and developed brain metastases prior to the start of targeted therapy. The patient received radiation therapy to a dose of 30 Gy delivered in 15 fractions to her brain lesions while the patient was on dabrafenib and trametinib therapy. The patient's CNS metastases improved significantly within weeks of her therapy. The patient's non-irradiated large extracranial chest mass and axilla mass also shrank substantially demonstrating the abscopal effect during her CNS radiation therapy. Following radiation therapy of her residual chest lesions, the patient was disease free clinically and her CNS lesions had regressed. However, when the radiation therapy ended and the patient continued her targeted therapy alone, recurrence outside of her previously treated fields was noted. The disease recurrence could be due to the possibility of developing BRAF resistance clones to the BRAF targeted therapy. The patient died eventually due to wide spread systemic disease recurrence despite targeted therapy.

• 대한정형외과 초음파학회지
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• 제8권1호
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• pp.26-30
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• 2015

정형외과적 영역에서 족부 족관절 부의의 손상은 흔한 문제이다. 비록 손상들이 생명을 위협하지는 않지만 정확한 진단이나 치료가 지연됐을 시에는 하지의 기능에 장애를 유발 할 수 있으므로 정확한 진단이 장기간의 합병증을 예방 할 수 있다. 초음파는 비용-효과면에서 우수하고 방사선 피폭의 염려가 없으며 연부 조직의 검사에 유용하고 역동적 검사를 시행할 수 있어서 아킬레스건 파열에서 그 유용성이 증가하고 있다. 초음파 영상은 아킬레스건 파열의 진단적 도구이다. 영상의학적 검사 없이 아킬레스건 파열을 진단하기 위해서는 신체 검사와 환자의 병력에 필요하지만 개인 의원에서는 약 20%에서 파열을 놓지는 것으로 알려져 있다. 초음파 영상 하에서 정상적인 섬유 구조의 단절이 아킬레스건 파열의 진단이 되며 실시간으로 족배 굴곡 및 족저 굴곡을 함으로써 단절이 더 확대되는 것을 관찰 할 수 있다. 그리고 수술 후나 보존적인 치료를 시행하는 경우에도 추시 관찰 기간 동안 지속적으로 초음파를 통해 건의 상태를 관찰할 수 있는 유용한 도구이다.

• The Korean Journal of Physiology and Pharmacology
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• 제22권2호
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• pp.113-125
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• 2018

Exosomes are membranous vesicles of 30-150 nm in diameter that are derived from the exocytosis of the intraluminal vesicles of many cell types including immune cells, stem cells, cardiovascular cells and tumor cells. Exosomes participate in intercellular communication by delivering their contents to recipient cells, with or without direct contact between cells, and thereby influence physiological and pathological processes. They are present in various body fluids and contain proteins, nucleic acids, lipids, and microRNAs that can be transported to surrounding cells. Theragnosis is a concept in next-generation medicine that simultaneously combines accurate diagnostics with therapeutic effects. Molecular components in exosomes have been found to be related to certain diseases and treatment responses, indicating that they may have applications in diagnosis via molecular imaging and biomarker detection. In addition, recent studies have reported that exosomes have immunotherapeutic applications or can act as a drug delivery system for targeted therapies with drugs and biomolecules. In this review, we describe the formation, structure, and physiological roles of exosomes. We also discuss their roles in the pathogenesis and progression of diseases including neurodegenerative diseases, cardiovascular diseases, and cancer. The potential applications of exosomes for theragnostic purposes in various diseases are also discussed. This review summarizes the current knowledge about the physiological and pathological roles of exosomes as well as their diagnostic and therapeutic uses, including emerging exosome-based therapies that could not be applied until now.

• Imaging Science in Dentistry
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• 제46권3호
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• pp.211-216
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• 2016

Purpose: The use of electronic tools in teaching is growing rapidly in all fields, and there are many options to choose from. We present one such platform, Learning Catalytics$^{TM}$ (LC) (Pearson, New York, NY, USA), which we utilized in our oral and maxillofacial radiology course for second-year dental students. Materials and Methods: The aim of our study was to assess the correlation between students' performance on course exams and self-assessment LC quizzes. The performance of 354 predoctoral dental students from 2 consecutive classes on the course exams and LC quizzes was assessed to identify correlations using the Spearman rank correlation test. The first class was given in-class LC quizzes that were graded for accuracy. The second class was given out-of-class quizzes that were treated as online self-assessment exercises. The grading in the self-assessment exercises was for participation only and not accuracy. All quizzes were scheduled 1-2 weeks before the course examinations. Results: A positive but weak correlation was found between the overall quiz scores and exam scores when the two classes were combined (P<0.0001). A positive but weak correlation was likewise found between students' performance on exams and on in-class LC quizzes (class of 2016) (P<0.0001) as well as on exams and online LC quizzes (class of 2017) (P<0.0001). Conclusion: It is not just the introduction of technological tools that impacts learning, but also their use in enabling an interactive learning environment. The LC platform provides an excellent technological tool for enhancing learning by improving bidirectional communication in a learning environment.

• The Plant Pathology Journal
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• 제27권1호
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• pp.37-43
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• 2011

Rice stripe virus (RSV) is one of serious epidemic pathogens for rice species grown in many Asian countries. Therefore, it is necessary to produce a diagnostic detection kit applicable in fields for RSV detection. In this study, RSV proteins that were derived from recombinant proteins and synthetic polypeptides as antigens were generated and were raised in rabbits for antiserum production. Among seven proteins in RSV, genes that code for NCP and NS3 proteins were cloned and subcloned into vector carrying His-tag protein and were expressed in E. coli. Of two recombinant proteins, only anti-NCP displayed stable hybridization signals in western blot analysis. Alternately, synthetic RSV polypeptides for CP, NCP, NS3 and NSvc4 we also generated and only antibodies against CP and NCP were very effective to detect RSV in both RSV infected rice and weed plants. However, antibodies against NS3 and NSvc4 showed weak specific bands as well as strong non-specific background due to the difference of viral proteins produced in the infected leaves. In summary, the antibodies generated against RSV proteins produced in this study will be useful for various assays such as for RSV diagnostic detection, immunoprecipitation, protein purification, and western blot analysis.

• International Journal of Computer Science & Network Security
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• 제22권4호
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• pp.420-426
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• 2022

Breast cancer is among the cancers that may be healed as the disease diagnosed at early times before it is distributed through all the areas of the body. The Automatic Analysis of Diagnostic Tests (AAT) is an automated assistance for physicians that can deliver reliable findings to analyze the critically endangered diseases. Deep learning, a family of machine learning methods, has grown at an astonishing pace in recent years. It is used to search and render diagnoses in fields from banking to medicine to machine learning. We attempt to create a deep learning algorithm that can reliably diagnose the breast cancer in the mammogram. We want the algorithm to identify it as cancer, or this image is not cancer, allowing use of a full testing dataset of either strong clinical annotations in training data or the cancer status only, in which a few images of either cancers or noncancer were annotated. Even with this technique, the photographs would be annotated with the condition; an optional portion of the annotated image will then act as the mark. The final stage of the suggested system doesn't need any based labels to be accessible during model training. Furthermore, the results of the review process suggest that deep learning approaches have surpassed the extent of the level of state-of-of-the-the-the-art in tumor identification, feature extraction, and classification. in these three ways, the paper explains why learning algorithms were applied: train the network from scratch, transplanting certain deep learning concepts and constraints into a network, and (another way) reducing the amount of parameters in the trained nets, are two functions that help expand the scope of the networks. Researchers in economically developing countries have applied deep learning imaging devices to cancer detection; on the other hand, cancer chances have gone through the roof in Africa. Convolutional Neural Network (CNN) is a sort of deep learning that can aid you with a variety of other activities, such as speech recognition, image recognition, and classification. To accomplish this goal in this article, we will use CNN to categorize and identify breast cancer photographs from the available databases from the US Centers for Disease Control and Prevention.

• 한국IT서비스학회지
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• 제8권2호
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• pp.147-156
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• 2009

As the result of the rapid development of IT technology, an on-line diagnostic system using the field bus communication network coupled with a smart sensor module will be widely used at the nuclear power plant in the near future. The smart sensor system is very useful for the prompt understanding of abnormal state of the key equipments installed in the nuclear power plant. In this paper, it is assumed that a smart sensor system based on the fieldbus communication network for the surveillance and diagnostics of safety-critical equipments will be installed in the harsh-environment of the nuclear power plant. It means that the key components of fieldbus communication system including microprocessor, FPGA, and ASIC devices, are to be installed in the RPV (reactor pressure vessel) and the RCS (reactor coolant system) area, which is the area of a high dose-rate gamma irradiation fields. Gamma radiation constraints for the DBA (design basis accident) qualification of the RTD sensor installed in the harsh environment of nuclear power plant, are typically on the order of 4 kGy/h. In order to use a field bus communication network as an ad-hoc diagnostics sensor network in the vicinity of the RCS pump area of the nuclear power plant, the robust survivability of IT-based micro-electronic components in such intense gamma-radiation fields therefore should be verified. An intelligent CCD camera system, which are composed of advanced micro-electronics devices based on IT technology, have been gamma irradiated at the dose rate of about 4.2kGy/h during an hour UP to a total dose of 4kGy. The degradation performance of the gamma irradiated CCD camera system is explained.

• 한국문헌정보학회지
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• 제48권1호
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• pp.215-235
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• 2014

본 연구는 문헌정보학 분야 독서치료 연구의 수준 향상을 위한 시사점을 얻기 위해 관련된 학문영역별 독서치료 연구의 특성을 분석하였다. 학술지에 수록된 130편의 연구논문을 5개 전공영역으로 나누어 연구주제, 연구목적, 연구대상 등에 대하여 분석하였다. 분석결과, 2010년대 이후에 독서치료 연구가 도서관계를 중심으로 비교적 활발하게 전개되지만 연구주제와 연구방법의 다양화, 이론적 기반 등에서 문제점이 지적되었다. 보완점으로 독서치료 대상을 연령, 계층, 경험집단, 상황집단 등으로 확대하고, 토론이나 역할극, 놀이치료 등 독후활동을 병행하며, 다양한 진단검사 도구를 활용 해석하는 능력을 키울 것을 제시하였다. 또한, 양적연구와 질적연구를 병행하고, 심리학적 이론과 독서치료 과정이론을 프로그램 구성에 적극 활용할 것을 주장하였다.

• Archives of Plastic Surgery
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• 제37권4호
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• pp.452-456
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• 2010

Purpose: The schwannoma is a benign peripheral nerve tumor arising from the Schwann cell of the nerve sheath. Only 2-8% of schwannomas arise in the hand and wrist. Misdiagnosis is frequent such as ganglion and neurofibroma. This article documents and clarifies the clinical features of schwannomas arising in the hand and wrist, and emphasizes importance of differential diagnosis and meticulous surgical extirpation under magnification. Methods: The author reviewed clinical features of 15 patients with pathologic final diagnosis of schwannoma developed in hand and wrist during the last 12 years from 1998 through 2009. The review included the sex, age of onset, duration, preoperative diagnosis, location, involved nerve, preoperative symptoms and. Postoperative sequelae after surgical extirpation of the lesion with magnification, or without magnification of the surgical fields. Results: The chief complaints were slow growing firm mass in all patients, and followed by pain in 40%, and paresthesia in 40% respectively. The lesions were developed solitarily in 14 patients (93%). The postoperative pathologic diagnosis and preoperative diagnosis were coincided with only in 6 patients (40%). Other preoperative diagnosis were soft tissue tumor in 4 patient (26.6%), and ganglion in 3 patients (20%), and neurofibroma in 2 patients (13%). In all patients who were undergone surgical excision under the fields of magnification, all symptoms were subsided without any sequelae. Meanwhile muscle weakness, paresthesia, hypoesthesia and /or accidental nerve resection developed after surgical excision with naked eye. Conclusion: Schwannoma in hand most commonly appears as a slow growing solitary mass with pain or paresthesia. The chance of preoperative misdiagnosis was 60% in this series. To provide good prognosis and less sequelae, careful and elaborate diagnostic efforts and meticulous surgical excision under the magnification are necessary in management of schwannoma.

• 적정기술학회지
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• 제5권1호
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• pp.46-53
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• 2019

적정기술이 현장에서 널리 활용되기 위한 조건 중의 하나는 그 기술을 적용하기 위한 용이함과 경제성이 뒷받침 되어야 한다. 특히 질병의 진단은 전문 인력, 장비, 그리고 시약 등의 비용이 높아, 다른 분야에 비하여 개발도상국에 적용되기 가장 어려운 분야이다. 최근, 주변에 가장 흔한 소재 중의 하나인 종이를 기반으로, 특수한 시설이나 장비가 필요 없이도, 누구나 쉽게 배워서 제작하고, 사용할 수 있는 종이 진단칩 기술이 속속 개발되고 있다. 본 기술들은 특정 질병의 진단에 현장에서 신속하게 제작이 가능한 기술로 활용 가능한 현장진단 칩으로 연구되고 있으며, 그 활용 가능성이 커지고 있다. 이 기술들의 완성도가 높아지면, 개발도상국의 가장 큰 의료문제들을 해결하여, 궁극적으로 인간의 삶의 질을 향상시키는데 활용 될 수 있을 것이다.